| DC Field | Value | Language |
|---|
| dc.contributor.author | Shelevytsky, Ihor | |
| dc.contributor.author | Shelevytska, Victorya | |
| dc.contributor.author | Golovko, Vlad | |
| dc.contributor.author | Semenov, Bogdan | |
| dc.coverage.temporal | 21-25 August 2018, Lviv | |
| dc.date.accessioned | 2020-06-19T12:05:59Z | - |
| dc.date.available | 2020-06-19T12:05:59Z | - |
| dc.date.created | 2018-02-28 | |
| dc.date.issued | 2018-02-28 | |
| dc.identifier.citation | Segmentation and Parametrization of the Phonocardiogram for the Heart Conditions Classification in Newborns / Ihor Shelevytsky, Victorya Shelevytska, Vlad Golovko, Bogdan Semenov // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 430–433. — (Hybrid Systems of Computational Intelligence). | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52539 | - |
| dc.description.abstract | Phonocardiographs are analyzed for
diagnostics of heart conditions in newborns. The algorithms of
allocation of heart tones and selection of stationary periods on
phonocardiograms are proposed. Dedicated heartbeats can be
parameterized in different ways. The first set of parameters
characterizes the shape and the time-amplitude features. The
second set of parameters is the coefficients of the frequencytime decomposition of cardiac cycles with spline bases. This
approach allows detecting of the Patent ductus arteriosus
(PDA) by machine learning methods. Software for phonograms
analysis has been developed. | |
| dc.format.extent | 430-433 | |
| dc.language.iso | en | |
| dc.publisher | Lviv Politechnic Publishing House | |
| dc.relation.ispartof | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 | |
| dc.relation.uri | http://dx.doi.org/10.1111/chd.12328 | |
| dc.relation.uri | http://dx.doi.org/10.1016/j.jpeds.2015.08.023 | |
| dc.relation.uri | http://dx.doi.org/10.1049/htl.2015.0010 | |
| dc.relation.uri | http://dx.doi.org/10.1016/j.bspc.2016.10.004 | |
| dc.subject | Machine Learning | |
| dc.subject | detection of the Patent ductus arteriosus | |
| dc.subject | algorithms for segmentation of phonocardiograms | |
| dc.subject | parametrization of phonocardiograms | |
| dc.subject | classification of phonocardiograms | |
| dc.title | Segmentation and Parametrization of the Phonocardiogram for the Heart Conditions Classification in Newborns | |
| dc.type | Conference Abstract | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2018 | |
| dc.contributor.affiliation | Kryvyi Rih Institute of Economics | |
| dc.contributor.affiliation | Dnipropetrovsk Medical Academy of Health | |
| dc.contributor.affiliation | National Aviation University | |
| dc.format.pages | 4 | |
| dc.identifier.citationen | Segmentation and Parametrization of the Phonocardiogram for the Heart Conditions Classification in Newborns / Ihor Shelevytsky, Victorya Shelevytska, Vlad Golovko, Bogdan Semenov // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 430–433. — (Hybrid Systems of Computational Intelligence). | |
| dc.relation.references | [1] L. S. W. Lai, A. N. Redington, A. J. Reinisch, M. J. Unterberger, and A. J. Schriefl, "Computerized automatic diagnosis of innocent and pathologic murmurs in pediatrics: A pilot study," Congenital Heart Disease, vol. 11, no. 5, pp. 386-395, Sep. 2016. [Online]. Available: http://dx.doi.org/10.1111/chd.12328 | |
| dc.relation.references | [2] J. Reese and M. M. Laughon, "The patent ductus arteriosus problem: Infants who still need treatment," The Journal of Pediatrics, vol. 167, no. 5, pp. 954-956, Nov. 2015. [Online]. Available: http://dx.doi.org/10.1016/j.jpeds.2015.08.023 | |
| dc.relation.references | [3] V. Nivitha Varghees and K. I. Ramachandran, "Multistage decisionbased heart sound delineation method for automated analysis of heart sounds and murmurs," Healthcare Technology Letters, vol. 2, no. 6, pp. 156-163, Dec. 2015. [Online]. Available: http://dx.doi.org/10.1049/htl.2015.0010 | |
| dc.relation.references | [4] W. Zhang, J. Han, and S. Deng, "Heart sound classification based on scaled spectrogram and partial least squares regression," Biomedical Signal Processing and Control, vol. 32, pp. 20-28, Feb. 2017. [Online]. Available: http://dx.doi.org/10.1016/j.bspc.2016.10.004 | |
| dc.relation.referencesen | [1] L. S. W. Lai, A. N. Redington, A. J. Reinisch, M. J. Unterberger, and A. J. Schriefl, "Computerized automatic diagnosis of innocent and pathologic murmurs in pediatrics: A pilot study," Congenital Heart Disease, vol. 11, no. 5, pp. 386-395, Sep. 2016. [Online]. Available: http://dx.doi.org/10.1111/chd.12328 | |
| dc.relation.referencesen | [2] J. Reese and M. M. Laughon, "The patent ductus arteriosus problem: Infants who still need treatment," The Journal of Pediatrics, vol. 167, no. 5, pp. 954-956, Nov. 2015. [Online]. Available: http://dx.doi.org/10.1016/j.jpeds.2015.08.023 | |
| dc.relation.referencesen | [3] V. Nivitha Varghees and K. I. Ramachandran, "Multistage decisionbased heart sound delineation method for automated analysis of heart sounds and murmurs," Healthcare Technology Letters, vol. 2, no. 6, pp. 156-163, Dec. 2015. [Online]. Available: http://dx.doi.org/10.1049/htl.2015.0010 | |
| dc.relation.referencesen | [4] W. Zhang, J. Han, and S. Deng, "Heart sound classification based on scaled spectrogram and partial least squares regression," Biomedical Signal Processing and Control, vol. 32, pp. 20-28, Feb. 2017. [Online]. Available: http://dx.doi.org/10.1016/j.bspc.2016.10.004 | |
| dc.citation.conference | IEEE second international conference "Data stream mining and processing" | |
| dc.citation.spage | 430 | |
| dc.citation.epage | 433 | |
| dc.coverage.placename | Львів | |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference
|
